AI-enabled autonomous ERP: redefining business operations and decision-making

Chowhan, Giridhar Raj Singh (2025) AI-enabled autonomous ERP: redefining business operations and decision-making. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 260-267. ISSN 2582-8266

This article examines the transformative impact of artificial intelligence on Enterprise Resource Planning (ERP) systems, marking a paradigm shift from traditional manual approaches to autonomous operations. It consolidates findings from multiple studies across various sectors, including educational institutions, manufacturing organizations, and public agencies. AI-enabled autonomous ERP systems demonstrate considerable improvements in operational efficiency through machine learning, predictive analytics, robotic process automation, and natural language processing technologies. These intelligent systems deliver significant benefits in continuous learning and adaptation, anomaly detection, risk mitigation, and predictive decision support. However, implementation challenges persist in data quality and integration, security and compliance concerns, and establishing appropriate ethical frameworks and human oversight mechanisms. Despite these challenges, organizations adopting autonomous ERP systems report enhanced business agility, cost efficiency through intelligent automation, and competitive advantages through predictive capabilities. It suggests that as implementation methodologies mature and AI capabilities advance, autonomous ERP adoption will accelerate across industries, fundamentally redefining business operations and decision-making processes.